D. Shi

Most-cited papers

Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement
Chuanjun Zheng, D. Shi, Wentian Shi
2021IEEE International Conference on Computer Vision144 citations Open access
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Sparse kernel learning with LASSO and Bayesian inference algorithm
Junbin Gao, P. Kwan, D. Shi
2010Neural Networks141 citations
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Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks
Mei-Lu Zhu, D. Shi, Mingjie Zheng, M. Sadiq
2019Computer Vision and Pattern Recognition138 citations
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Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification
Bin Deng, Sen Jia, D. Shi
2020IEEE Transactions on Geoscience and Remote Sensing105 citations
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Intelligent scheduling of discrete automated production line via deep reinforcement learning
D. Shi, Wenhui Fan, Yingying Xiao, Tingyu Lin +1 more
2020International Journal of Production Research104 citations
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Sensitivity Analysis for Neural Networks
D. Yeung, I. Cloete, D. Shi, Wing W. Y. Ng
2009Sensitivity Analysis for Neural Networks102 citations
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A comprehensive experiment-based review of low-light image enhancement methods and benchmarking low-light image quality assessment
Muhammad Tahir Rasheed, D. Shi, Hufsa Khan
2022Signal Processing94 citations
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Segmentation of green vegetation of crop canopy images based on mean shift and Fisher linear discriminant
Li-Ying Zheng, D. Shi, Jingtao Zhang
2010Pattern Recognition Letters80 citations
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LRSR: Low-Rank-Sparse representation for subspace clustering
Jun Wang, D. Shi, Dansong Cheng, Yongqiang Zhang +1 more
2016Neurocomputing56 citations
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Advanced Hough Transform Using A Multilayer Fractional Fourier Method
D. Shi, Li-Ying Zheng, Ji-Gang Liu
2010IEEE Transactions on Image Processing53 citations
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An Empirical Study on Retinex Methods for Low-Light Image Enhancement
Muhammad Tahir Rasheed, Guiyu Guo, D. Shi, Hufsa Khan +1 more
2022Remote Sensing52 citations Open access
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Maximum Amplitude Method for Estimating Compact Fractional Fourier Domain
Li-Ying Zheng, D. Shi
2010IEEE Signal Processing Letters44 citations
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Image Denoising With Generative Adversarial Networks and its Application to Cell Image Enhancement
Songkui Chen, D. Shi, M. Sadiq, Xiaochun Cheng
2020IEEE Access40 citations Open access
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LSR: Lightening super-resolution deep network for low-light image enhancement
Muhammad Tahir Rasheed, D. Shi
2022Neurocomputing39 citations
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A conditional Triplet loss for few-shot learning and its application to image co-segmentation
D. Shi, M. Orouskhani, Yasin Orouskhani
2021Neural Networks34 citations Open access
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A Fuzzy Adaptive Dynamic NSGA-II With Fuzzy-Based Borda Ranking Method and its Application to Multimedia Data Analysis
M. Orouskhani, D. Shi, Xiaochun Cheng
2021IEEE transactions on fuzzy systems33 citations
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Low-Rank-Sparse Subspace Representation for Robust Regression
Yongqiang Zhang, D. Shi, Junbin Gao, Dansong Cheng
2017Computer Vision and Pattern Recognition30 citations
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A Review of Hough Transform and Line Segment Detection Approaches
Payam S. Rahmdel, R. Comley, D. Shi, Siobhan McElduff
2015International Conference on Computer Vision Theory and Applications29 citations Open access
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Facial Landmark Detection via Attention-Adaptive Deep Network
M. Sadiq, D. Shi, Mei-Qin Guo, Xiaochun Cheng
2019IEEE Access25 citations Open access
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Active contour driven by multi-scale local binary fitting and Kullback-Leibler divergence for image segmentation
Lin Liu, Dansong Cheng, Feng Tian, D. Shi +1 more
2016Multimedia tools and applications22 citations
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Significant vector learning to construct sparse kernel regression models
Junbin Gao, D. Shi, Xiaomao Liu
2007Neural Networks19 citations
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Fuzzy CMAC With Incremental Bayesian Ying–Yang Learning and Dynamic Rule Construction
D. Shi, M. Nguyen, Sui-Ping Zhou, Gui-Sheng Yin
2010IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)18 citations
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Multi-objective evolutionary clustering with complex networks
M. Orouskhani, D. Shi, Yasin Orouskhani
2021Expert systems with applications17 citations Open access
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TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines
Xin-Wei Jiang, Junbin Gao, Tianjiang Wang, D. Shi
2014IEEE Transactions on Cybernetics17 citations
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Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection
Mei-Lu Zhu, D. Shi, Junbin Gao
2019Neural Networks16 citations Open access
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Robust facial landmark detection and tracking across poses and expressions for in-the-wild monocular video
Shuang Liu, Yongqiang Zhang, Xiaosong Yang, D. Shi +1 more
2017Computational Visual Media14 citations Open access
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A nature inspired Ying-Yang approach for intelligent decision support in bank solvency analysis
M. Nguyen, D. Shi, Hiok Chai Quek
2008Expert systems with applications14 citations
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Locally adaptive sparse representation on Riemannian manifolds for robust classification
Ming Yin, Zong-Ze Wu, D. Shi, Junbin Gao +1 more
2018Neurocomputing13 citations
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Advanced Radon transform using generalized interpolated Fourier method for straight line detection
Li-Ying Zheng, D. Shi
2011Computer Vision and Image Understanding13 citations
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Windowing Decomposition Convolutional Neural Network for Image Enhancement
Chuanjun Zheng, D. Shi, Yukun Liu
2021ACM Multimedia12 citations
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A global-local affinity matrix model via EigenGap for graph-based subspace clustering
D. Shi, Jun Wang, Dansong Cheng, Junbin Gao
2017Pattern Recognition Letters11 citations
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Criminal pattern identification based on modified K-means clustering
Turki Aljrees, D. Shi, David Windridge, William Wong
2016International Conference on Machine Learning and Computing10 citations Open access
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Double-noise-dual-problem approach to the augmented Lagrange multiplier method for robust principal component analysis
Dansong Cheng, Jianzhe Yang, Jun Wang, D. Shi +1 more
2015Soft Computing - A Fusion of Foundations, Methodologies and Applications10 citations
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CAF-FrFT: A center-affine-filter with fractional Fourier transform to reduce the cross-terms of Wigner distribution
Li-Ying Zheng, D. Shi, Jing Zhang
2014Signal Processing10 citations
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Advanced P-Tree based K-Nearest neighbors for customer preference reasoning analysis
Xiang Li, D. Shi, V. Charastrakul, Junhong Zhou
2009Journal of Intelligent Manufacturing10 citations
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Fuzzy adaptive cat swarm algorithm and Borda method for solving dynamic multi‐objective problems
M. Orouskhani, D. Shi
2018Expert Syst. J. Knowl. Eng.9 citations
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Prediction of Protein-Protein Interactions Related to Protein Complexes Based on Protein Interaction Networks
Peng Liu, Lei Yang, D. Shi, Xianglong Tang
2015BioMed Research International9 citations Open access
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UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection
D. Shi, Junbin Gao, Payam S. Rahmdel, M. Antolovich +1 more
2013IEEE Transactions on Image Processing9 citations
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An online Bayesian Ying-Yang learning applied to fuzzy CMAC
M. Nguyen, D. Shi, Jia-Cai Fu
2008Neurocomputing8 citations
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Image Denoising via Generative Adversarial Networks with Detail Loss
Songkui Chen, D. Shi, M. Sadiq, Mei-Lu Zhu
2019Proceedings of the 2019 2nd International Conference on Information Science and Systems7 citations
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Sign-Correlation Partition Based on Global Supervised Descent Method for Face Alignment
Yongqiang Zhang, Shuang Liu, Xiaosong Yang, D. Shi +1 more
2016Asian Conference on Computer Vision6 citations Open access
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Band-Level Correlation Noise Modeling for Wyner–Ziv Video Coding with Gaussian Mixture Models
Ming Yin, Jun-Bin Gao, D. Shi, Shuting Cai
2014Circuits, systems, and signal processing6 citations
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Lane detection using Fourier-based line detector
Payam S. Rahmdel, D. Shi, R. Comley
2013Midwest Symposium on Circuits and Systems6 citations
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Relation Network for Hyperspectral Image Classification
Bin Deng, D. Shi
20192019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)5 citations
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DUTIR at TREC 2007 Blog Track
Rui Song, Qin Tang, D. Shi, Hongfei Lin +1 more
2007Text Retrieval Conference5 citations
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Generative Recorrupted-to-Recorrupted: An Unsupervised Image Denoising Network for Arbitrary Noise Distribution
Yukun Liu, Bowen Wan, D. Shi, Xiaochun Cheng
2023Remote Sensing4 citations Open access
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Adaptive Few-Shot Deep Metric Learning
Wentian Shi, D. Shi, M. Orouskhani, Feng Tian
20214 citations
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An improved neural dynamics based approach with territorial mechanism to online path planning of multi-robot systems
Xin Yi, Anmin Zhu, Simon X. Yang, D. Shi
2021International Journal of Machine Learning and Cybernetics4 citations
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A level set method for image segmentation based on Bregman divergence and multi-scale local binary fitting
Dansong Cheng, D. Shi, Feng Tian, Xiaofang Liu
2019Multimedia tools and applications4 citations
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Comment on “Collinear Segment Detection Using HT Neighborhoods”
Payam S. Rahmdel, D. Shi, R. Comley
2014IEEE Transactions on Image Processing4 citations
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